Biomarkers in the prediction of contrast media induced nephropathy - the BITCOIN study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 14 01 2020
accepted: 04 06 2020
entrez: 17 7 2020
pubmed: 17 7 2020
medline: 25 9 2020
Statut: epublish

Résumé

Subjects with chronic kidney disease are at increased risk for contrast-induced acute kidney injury (CI-AKI). Risk stratification is traditionally based on glomerular filtration rate (GFR) and proteinuria. The present trial examines, whether tubular and inflammatory biomarkers are able to identify subjects at increased risk as well. We performed a prospective study in 490 patients undergoing coronary angiography. An increase of serum creatinine concentration ≥ 0.3 mg/dl from baseline to day 2-3 was defined as primary endpoint (CI-AKI). Urinary neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), and calprotectin were assessed < 24h before coronary angiography. Prognostic accuracy was assessed by receiver operating characteristics (ROC) calculations. 30 (6.1%) patients suffered from CI-AKI (27 AKIN stage I, 3 AKIN stage II, 0 AKIN stage III). Those subjects who developed CI-AKI had 3.1 fold higher baseline urinary NGAL/creatinine ratios than those without CI-AKI (60.8 [IQR 18.7-93.1] μg/mg vs. 19.9 [IQR 12.3-38.9] μg/mg, p = 0.001). In those subjects without clinically overt CKD (eGFR > 60 ml/min, urinary albumin creatinine ratio <30 mg/g), the NGAL/creatinine ratio was 2.6 higher in CI-AKI vs. no CI-AKI (47.8 [IQR 11.8-75.3] vs. 18.6 [IQR 11.7-36.3] μg/mg). No significant differences were obtained for KIM-1 and calprotectin (p>0.05 each). ROC analyses revealed an area under the curve (AUC) of 0.68 (95% CI 0.60-0.81) for NGAL/creatinine. An NGAL/creatinine ratio < 56.4 μg/mg has a negative predictive value of 96.5%. The present study is the largest investigation on the use of urinary biomarkers for CI-AKI risk stratification so far. It shows that NGAL provides prognostic information beyond the glomerular biomarkers eGFR and proteinuria.

Sections du résumé

BACKGROUND
Subjects with chronic kidney disease are at increased risk for contrast-induced acute kidney injury (CI-AKI). Risk stratification is traditionally based on glomerular filtration rate (GFR) and proteinuria. The present trial examines, whether tubular and inflammatory biomarkers are able to identify subjects at increased risk as well.
METHODS
We performed a prospective study in 490 patients undergoing coronary angiography. An increase of serum creatinine concentration ≥ 0.3 mg/dl from baseline to day 2-3 was defined as primary endpoint (CI-AKI). Urinary neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), and calprotectin were assessed < 24h before coronary angiography. Prognostic accuracy was assessed by receiver operating characteristics (ROC) calculations.
RESULTS
30 (6.1%) patients suffered from CI-AKI (27 AKIN stage I, 3 AKIN stage II, 0 AKIN stage III). Those subjects who developed CI-AKI had 3.1 fold higher baseline urinary NGAL/creatinine ratios than those without CI-AKI (60.8 [IQR 18.7-93.1] μg/mg vs. 19.9 [IQR 12.3-38.9] μg/mg, p = 0.001). In those subjects without clinically overt CKD (eGFR > 60 ml/min, urinary albumin creatinine ratio <30 mg/g), the NGAL/creatinine ratio was 2.6 higher in CI-AKI vs. no CI-AKI (47.8 [IQR 11.8-75.3] vs. 18.6 [IQR 11.7-36.3] μg/mg). No significant differences were obtained for KIM-1 and calprotectin (p>0.05 each). ROC analyses revealed an area under the curve (AUC) of 0.68 (95% CI 0.60-0.81) for NGAL/creatinine. An NGAL/creatinine ratio < 56.4 μg/mg has a negative predictive value of 96.5%.
CONCLUSIONS
The present study is the largest investigation on the use of urinary biomarkers for CI-AKI risk stratification so far. It shows that NGAL provides prognostic information beyond the glomerular biomarkers eGFR and proteinuria.

Identifiants

pubmed: 32673348
doi: 10.1371/journal.pone.0234921
pii: PONE-D-20-01191
pmc: PMC7365403
doi:

Substances chimiques

Biomarkers 0
Contrast Media 0
HAVCR1 protein, human 0
Hepatitis A Virus Cellular Receptor 1 0
Leukocyte L1 Antigen Complex 0
Lipocalin-2 0
Creatinine AYI8EX34EU

Banques de données

figshare
['10.6084/m9.figshare.12369521']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0234921

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Felix S Seibert (FS)

Department of Nephrology, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Herne, Germany.

Anja Heringhaus (A)

Department of Nephrology, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Herne, Germany.

Nikolaos Pagonas (N)

Department for Angiology, Centre for Internal Medicine I, Brandenburg Medical School Theodor Fontane, Brandenburg, Germany.

Henrik Rudolf (H)

Department of Medical Informatics, Biometry & Epidemiology, Ruhr-University of Bochum, Herne, Germany.

Benjamin Rohn (B)

Department of Nephrology, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Herne, Germany.

Frederic Bauer (F)

Department of Nephrology, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Herne, Germany.

Nina Timmesfeld (N)

Department of Medical Informatics, Biometry & Epidemiology, Ruhr-University of Bochum, Herne, Germany.

Hans-Joachim Trappe (HJ)

Department of Cardiology, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Herne, Germany.

Nina Babel (N)

Department of Nephrology, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Herne, Germany.

Timm H Westhoff (TH)

Department of Nephrology, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Herne, Germany.

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Classifications MeSH